leetcode-problemset/leetcode/originData/create-a-new-column.json

{
    "data": {
        "question": {
            "questionId": "3066",
            "questionFrontendId": "2881",
            "boundTopicId": null,
            "title": "Create a New Column",
            "titleSlug": "create-a-new-column",
            "content": "<pre>\nDataFrame <code>employees</code>\n+-------------+--------+\n| Column Name | Type.  |\n+-------------+--------+\n| name        | object |\n| salary      | int.   |\n+-------------+--------+\n</pre>\n\n<p>A&nbsp;company plans to provide its employees with a bonus.</p>\n\n<p>Write a solution to create a new column name <code>bonus</code> that contains the <strong>doubled values</strong> of the <code>salary</code> column.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong>\nDataFrame employees\n+---------+--------+\n| name    | salary |\n+---------+--------+\n| Piper   | 4548   |\n| Grace   | 28150  |\n| Georgia | 1103   |\n| Willow  | 6593   |\n| Finn    | 74576  |\n| Thomas  | 24433  |\n+---------+--------+\n<strong>Output:</strong>\n+---------+--------+--------+\n| name    | salary | bonus  |\n+---------+--------+--------+\n| Piper   | 4548   | 9096   |\n| Grace   | 28150  | 56300  |\n| Georgia | 1103   | 2206   |\n| Willow  | 6593   | 13186  |\n| Finn    | 74576  | 149152 |\n| Thomas  | 24433  | 48866  |\n+---------+--------+--------+\n<strong>Explanation:</strong> \nA new column bonus is created by doubling the value in the column salary.</pre>\n",
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 26,
            "dislikes": 4,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Piper\",4548],[\"Grace\",28150],[\"Georgia\",1103],[\"Willow\",6593],[\"Finn\",74576],[\"Thomas\",24433]]}}",
            "categoryTitle": "pandas",
            "contributors": [],
            "topicTags": [],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame:\n    ",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"12.4K\", \"totalSubmission\": \"14K\", \"totalAcceptedRaw\": 12435, \"totalSubmissionRaw\": 14046, \"acRate\": \"88.5%\"}",
            "hints": [
                "Consider using the `[]` brackets with the new column name at the left side of the assignment. The calculation of the value is done element-wise."
            ],
            "solution": {
                "id": "2103",
                "canSeeDetail": true,
                "paidOnly": false,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
            },
            "status": null,
            "sampleTestCase": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Piper\",4548],[\"Grace\",28150],[\"Georgia\",1103],[\"Willow\",6593],[\"Finn\",74576],[\"Thomas\",24433]]}}",
            "metaData": "{\n  \"pythondata\": [\n    \"employees = pd.DataFrame([], columns=['name', 'salary']).astype({'name':'object', 'salary':'Int64'})\"\n  ],\n  \"database\": true,\n  \"name\": \"createBonusColumn\",\n  \"languages\": [\n    \"pythondata\"\n  ]\n}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [],
            "enableRunCode": true,
            "enableTestMode": false,
            "enableDebugger": false,
            "envInfo": "{\"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}